| Title |
Rural–urban inequities in deaths and cancer mortality amid rapid economic and environmental changes in China
|
|---|---|
| Published in |
International Journal of Public Health, June 2018
|
| DOI | 10.1007/s00038-018-1109-3 |
| Pubmed ID | |
| Authors |
Lee Liu |
| Abstract |
This paper examines rural-urban inequities in mortality and cancer mortality amid rapid economic growth and environmental degradation in China. SPSS and Joinpoint Regression were used to analyze the 2002-2015 datasets from all death registries in China and associated economic and environmental data. Death and cancer mortality rates among rural residents were higher and increased faster than urban residents. In particular, rural men 30-34 years old were 44% more likely to die from cancer and over 67% more likely to die from all causes, compared to their urban counterparts. Among rural women 15-19 years old, the death rate was 47% higher and the cancer mortality rate was 44% higher than among urban women. Death and cancer mortality rates tended to be positively associated with economic growth and air pollution variables. Rural-urban health inequities have widened in China, with rural youth at the greatest disadvantage. The anticipated health benefits from income growth may have been offset by the impact of air pollution, which calls for further investigation into the causes of rural-urban health inequities. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Arts and Humanities | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 13 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from International Journal of Public Health
#1,539
of 1,900 outputs
Outputs of similar age
#251,265
of 342,171 outputs
Outputs of similar age from International Journal of Public Health
#29
of 37 outputs
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